A method of electronic image stabilization of the mobile robot

The development of electronic image stabilization (EIS) and some algorithms was introduced. Dissimilarity method was used to describe the difference of feature point between the initial picture and the current picture based on the KLT algorithm, which solved the difficult feature catching problem induced by outer factor. According to luminance adaptation method, opposite luminance comparison was substituted by absolute luminance comparison, which solved the feature matching difficulty from illumination. Experiment was done on the vision platform of the mobile robot, and verified that this algorithm had a time-stability effect.